Spectrallic/MiniMax-H3-DMAD-int8-convrot

text-to-video model by Spectrallic

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These are the pruned MiniMax-H3 FL2VA and Ref2VA transformers from Comfy-Org/MiniMax-H3 with a full-rank DMAD LoRA merged in, quantized to INT8 ConvRot. The 4-step files use the fullcritic student and the 8-step files use 8stepfullcritic, which was trained for 8-step sampling. All four were made the same way and differ only in the base model and the LoRA: The tensor names and order, dtypes, shapes, data offsets and .comfyquant descriptors all match the Comfy-Org file. The difference is that the distillation is baked in, so you don't need a LoRA loader. Modified files: the weights differ from the MiniMax-H3 release, as described under How they were made. Layout: every block linear (blocks.N.attn.{qkvproj,outproj}, blocks.N.mlp.{fc1,fc2}) is INT8 and has its own .comfyquant tensor ({"format": "int8tensorwise", "convrot": true, "convrotgroupsize": 256}) and a per-row F32 weightscale. Everything else keeps the Comfy-Org dtype. Not trained on Ref2VA: DMAD was trained on the text-to-audio-video transformer, and…

Spectrallic/MiniMax-H3-DMAD-int8-convrot on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. MiniMax-H3 FL2VA and Ref2VA (pruned) 4-step and 8-step DMAD: INT8 ConvRot
  2. Examples
  3. FL2VA, 4 steps
  4. Ref2VA, 4 steps
  5. FL2VA, 8 steps
  6. Ref2VA, 8 steps
  7. Sampling
  8. How they were made
  9. Checks
  10. Credits & license

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Model overview

Spectrallic/MiniMax-H3-DMAD-int8-convrot is a text-to-video model repository published by Spectrallic on Hugging Face. The source reports the diffusion-single-file library.

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Model facts

Task
text-to-video
Library
diffusion-single-file
Recent downloads (30 days)
6,527
Cumulative likes
3
Hugging Face trending score
2
Reported safetensors parameters
Not reported
Architecture
Not reported
License
other
Access
Not gated by Hugging Face
Created
2026-11-01T10:19:44.000Z
Last modified
2026-11-04T14:20:24.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: Comfy-Org/MiniMax-H3, ZhengmingYu/DMAD

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Source: Hugging Face Hub. Metadata observed 2026-11-11T06:57:46.557Z. Daily imports are snapshots, not real-time monitoring.

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